Research focus:
My research focuses on neural mechanisms underlying perceptual decision making and learning in the primate brain by combining modelling, behavioural measurements and functional MRI techniques. Recently, I investigate how human may learn novel visual patterns that do not appear in their daily lives. I am also interested in neuroimaging data analysis by machine learning methods.

Research Area(s):
General neuroinformatics,
Computational neuroscience

Research focus:
My research interests lie in the area of mathematical and computational neuroscience. I am interested in developing and analysing both spiking neural networks and dynamical system models. I am also interested in applying computational and mathematical techniques to facilitate the analysis, presentation and interpretation of multi-electrode array recordings.

Research focus:
We are studying information processing in
thalamo-cortico-thalamic loops in mammal sensory systems concentrating on the
visual system of the cat and the somatosensory system of the rat. In particular
we are interested in mechanisms of context-dependent modulation of information
processing.
To achieve our goals we develop new methods of data
analysis, test it on different models of the studied systems, and analyze the
experimental data. We concentrate on analysis and modeling of
electrophysiological data, both spike trains and local field potentials.

Research focus:
The application of the methods of computational neurobiology -- mathematical analysis and computer simulation -- to an understanding of the development and functioning of the nervous system.
Specific areas of interest:
1. The mechanisms by which retinotopically ordered projections and patterns of ocular dominance are developed between vertebrate eye and brain.
2. The mechanisms for the elimination of polyinnervation in developing muscle.
3. The functioning of the basal ganglia and related structures and their role in Parkinson's Disease.
4. The role of the mammalian hippocampus, cerebellum and neocortex in the associative storage and retrieval of information in the brain.
5. The development of neurally inspired algorithms for hard computational problems, such as combinatorial optimisation

Research focus:
Neural principles of processing and coding in the visual system. At the German Node, we develop a hardware and software infrastructure to support analysis and sharing of neurophysiology data.